@article{fdi:010067942,
  title = {{M}apping multiple ecosystem services indicators : toward an objective-oriented approach},
  author = {{L}e {C}lec'h, {S}. and {O}szwald, {J}. and {D}ecaens, {T}. and {D}esjardins, {T}hierry and {D}ufour, {S}. and {G}rimaldi, {M}ichel and {J}egou, {N}. and {L}avelle, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{Q}uantifying and mapping ecosystem services ({ES}), their indicators and their relationships is of crucial importance for environmental management. {I}n this article, we analyze the spatial distribution of multiple-{ES} indicators at three locations on the pioneer fronts of the {B}razilian {A}mazon. {W}e identify trade-offs and synergies between six {ES} indicators for soil, vegetation and biodiversity characterization. {W}e also propose spatial representations of multiple-{ES} indicators (vegetation carbon stocks, rates of water infiltration into soil, soil chemical quality, soil carbon stocks, biodiversity and richness in {S}phingidae). {F}inally, we discuss three different methods to map them depending on the goals of the maps, arguing that maps lean on objective-oriented approaches. {T}he study is based on remote sensing and sampling data from 135 sampling points. {W}e created multiple-{ES} indicators maps based on {P}rincipal {C}omponent {A}nalysis ({PCA}), a score of {ES} richness, and discrimination of land cover units. {PCA} is an appropriate tool for showing high correlations between indicators, nevertheless has notable limitations for visual communication. {T}he scoring method may help mapping {ES} hotspots, however it fails to consider relationships among them. {T}he land-cover-based method has the advantage of being simple and easy to interpret, still it may not consider important indicators not related to land-cover changes. {W}e discuss the interests and limitations of these different ways to map multiple-{ES} indicators, regarding the final goals of the maps.},
  keywords = {{BRESIL}},
  booktitle = {},
  journal = {{E}cological {I}ndicators},
  volume = {69},
  numero = {},
  pages = {508--521},
  ISSN = {1470-160{X}},
  year = {2016},
  DOI = {10.1016/j.ecolind.2016.05.021},
  URL = {https://www.documentation.ird.fr/hor/fdi:010067942},
}